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- Tasks: Lead data architecture projects and ensure seamless data integration in a hybrid work environment.
- Company: Join a dynamic financial services firm in London, shaping the future of data management.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge team driving innovation in data governance and analytics.
- Qualifications: 10+ years as a Data Architect with strong SQL and cloud tech experience required.
- Other info: Ideal for self-starters who thrive in fast-paced environments and love solving complex problems.
The predicted salary is between 72000 - 108000 £ per year.
Role: Data Architect
Duration: Full time-
Location London, UK (Hybrid )
- A minimum of 10 years of experience as a Data Architect
- A minimum of 3 years of experience in the Financial Services sector
- Has excellent understanding of:
- Data Architecture framework, standards, principles and data integration patterns
- Software development, analysis and data modelling, databases, data integration
- Technologies for database, ETL, Business Intelligence, data governance
- Minimum 3 years of experience with any of the given tools Collibra, Solidatus, data.world, or any other data catalog tools in the industry.
- Minimum 5 years’ experience working with cloud technologies AWS, AZURE.
- Very strong in SQL, PL/SQL or T-SQL.
- Vast experience in data modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA.
- Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLATP and OLAP databases.
- Minimum 5 years experience with reporting tools Power BI, Business Objects, Tableau or OBI.
- Understanding of Master Data Management technology landscape, processes and design principles. Minimum 3 years of experience with Informatica MDM or any other MDM tools (both customer and product domains).
- Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization.
- Understanding of GDPR and The Data Protection Act 2018
- Understanding of predictive modelling, NLP and text analysis, Machine Learning
- Data mining, visualization, and Machine Learning skills
- Knowledge of programming languages inc. Python highly desirable.
- TOGAF or ISEB accreditation (preferred)
- Experienced in architecture design, data modelling, data migration (on premise to cloud, and vice versa) and data integration methodologies
- Whole lifecycle experience from project inception, feasibility, design – through to project delivery.
- Proven track record in operating large Data Governance programs and managing enterprise data assets in a complex organisation
- Excellent communication skills with ability to explain technical concepts to non-technical audiences.
- Self-starter with the ability to appropriately prioritize and plan complex work in a rapidly changing environment
- Very strong problem-solving skills
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Data Architect employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Make sure to highlight your extensive experience in the Financial Services sector during networking opportunities. Connect with professionals in this field on platforms like LinkedIn and engage in discussions about data architecture trends.
✨Tip Number 2
Familiarize yourself with the specific tools mentioned in the job description, such as Collibra and Informatica MDM. Consider joining online forums or communities where these tools are discussed to gain insights and showcase your knowledge.
✨Tip Number 3
Attend industry conferences or webinars focused on data architecture and cloud technologies. This will not only expand your network but also keep you updated on the latest trends and best practices, which you can mention in conversations with potential employers.
✨Tip Number 4
Prepare to discuss your problem-solving skills and experiences in managing large Data Governance programs. Use real-life examples that demonstrate your ability to navigate complex data environments and communicate effectively with non-technical stakeholders.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience as a Data Architect, especially in the Financial Services sector. Emphasize your skills in data architecture frameworks, cloud technologies, and relevant tools like Collibra or Informatica MDM.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data architecture and how your background aligns with the requirements of the role. Mention specific projects where you've successfully implemented data integration patterns or governance programs.
Showcase Technical Skills: Clearly list your technical skills related to SQL, PL/SQL, data modeling tools, and reporting tools. Provide examples of how you've used these skills in past roles to solve complex problems or improve data management processes.
Prepare for Interviews: Be ready to discuss your experience in detail, particularly your work with cloud technologies and data governance. Prepare to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your communication skills.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Experience
With a minimum of 10 years as a Data Architect, be ready to discuss specific projects you've worked on. Highlight your experience in the Financial Services sector and how it has shaped your understanding of data architecture frameworks and principles.
✨Demonstrate Technical Proficiency
Be prepared to dive deep into your technical skills, especially with SQL, PL/SQL, and cloud technologies like AWS and Azure. Discuss your familiarity with data catalog tools such as Collibra or Solidatus, and how you've utilized them in past roles.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex technical concepts in simple terms. Think about how you would describe your work to a non-technical audience, as this will likely come up during the interview.
✨Problem-Solving Scenarios
Prepare to discuss specific challenges you've faced in data migration or integration projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your strong problem-solving skills.
